Estimation question
Estimate the Number of Orders delivered by Swiggy per hour in India
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What this question tests
Estimation combining market size, ordering behavior, and operational scale reasoning.
How to approach it
- Anchor on Swiggy's approximate scale in India, say 20 million monthly active users across major cities.
- Assume a fraction order on a given day, say 10 percent, giving roughly 2 million orders per day.
- Distribute orders unevenly across a day, with peak lunch and dinner hours capturing most volume, say 60 percent in a 4 hour window.
- Calculate peak hourly rate: 1.2 million orders in 4 hours gives roughly 300,000 orders per hour at peak.
- Calculate an average hourly rate across the full day: 2 million over roughly 16 active hours gives roughly 125,000 per hour.
- Present both a peak and average estimate, since 'per hour' is ambiguous without specifying which.
What a strong answer includes
- Distinguishes peak hour from average hour explicitly, since food delivery has sharply uneven demand across the day.
- States each assumption clearly, MAU, order penetration rate, and peak concentration, rather than a single unexplained guess.
- Gives round, defensible numbers and shows the arithmetic so the interviewer can follow the logic.
- Sanity checks the peak number against known restaurant capacity constraints in dense cities.
Common mistakes
- Giving a single flat number that ignores the large gap between peak and off peak hours.
- Skipping stated assumptions and jumping to a final number.
- Using implausibly precise figures with no rounding or range.
Likely follow-up questions
- How would this differ between a metro city and a smaller town?
- What would change your estimate for weekends versus weekdays?
- How would you validate this with real operational data?
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Learn the skill behind it
Chapters of the AI PM course that teach what this question tests.
- Chapter 2: Data fluency: SQL, logs, and reading the truth yourself
- Chapter 9: Prove it paid off: outcomes, economics, and pricing
- Chapter 14: Get the job: the AI PM interview loop